Title : 
Analysis of the stochastic stability for fault tolerant control systems
         
        
            Author : 
Mahmoud, Mufeed ; Jiang, Jan ; Zhang, Youmin
         
        
            Author_Institution : 
Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, Ont., Canada
         
        
        
        
            fDate : 
6/21/1905 12:00:00 AM
         
        
        
            Abstract : 
The analysis of the stochastic stability of fault tolerant control systems (FTCS) has been considered using Lyapunov function approach. A new dynamical model is developed to overcome the limitations of the existing results. In this model, two independent failure processes with Markovian transition probabilities are considered: one for plant components and the other for control actuators. Moreover, the proposed model takes into consideration failures in control actuators with internal dynamics. It is shown that the exponential stability in the mean square is sufficient for the almost sure asymptotic stability, and a necessary and sufficient condition for the exponential stability in the mean square for linear FTCS is derived. Some previously known results are shown to be special cases of these new results. A numerical example is included to demonstrate the theoretical analysis
         
        
            Keywords : 
Lyapunov methods; Markov processes; actuators; asymptotic stability; control system analysis; fault tolerance; FTCS; Lyapunov function approach; Markovian transition probabilities; almost sure asymptotic stability; control actuators; failure processes; fault tolerant control systems; internal dynamics; mean square exponential stability; necessary and sufficient condition; stochastic stability analysis; Actuators; Asymptotic stability; Control system analysis; Control systems; Fault tolerance; Fault tolerant systems; Independent component analysis; Stability analysis; Stochastic processes; Stochastic systems;
         
        
        
        
            Conference_Titel : 
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
         
        
            Conference_Location : 
Phoenix, AZ
         
        
        
            Print_ISBN : 
0-7803-5250-5
         
        
        
            DOI : 
10.1109/CDC.1999.827758